wehub-resource-sync
199 lines
6.8 KiB
Python
199 lines
6.8 KiB
Python
# Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# [AUTO-GENERATED] Unit test for paddle.tensor.creation
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# 自动生成的单测，覆盖 paddle.tensor.creation 模块中未覆盖的代码
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"""
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测试模块：paddle.tensor.creation (linspace, logspace, arange, full, meshgrid)
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Test Module: paddle.tensor.creation
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本测试覆盖以下功能：
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This test covers the following functions:
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1. linspace - 线性等分 / Linear space generation
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2. logspace - 对数等分 / Log space generation
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3. arange - 等差序列 / Arithmetic sequence generation
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4. full - 全值填充 / Full fill tensor
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5. meshgrid - 网格生成 / Mesh grid generation
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覆盖的未覆盖行：linspace各分支, logspace各分支, arange边界条件
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"""
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import unittest
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import numpy as np
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import paddle
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class TestLinspace(unittest.TestCase):
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"""测试linspace线性等分
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Test linspace function"""
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def setUp(self):
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paddle.disable_static()
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def test_linspace_basic(self):
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"""基本linspace / Basic linspace"""
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out = paddle.linspace(0, 10, 5)
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expected = np.linspace(0, 10, 5).astype('float32')
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np.testing.assert_allclose(out.numpy(), expected, rtol=1e-5)
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def test_linspace_float64(self):
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"""float64类型 / Linspace with float64"""
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out = paddle.linspace(0.0, 1.0, 11, dtype='float64')
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expected = np.linspace(0.0, 1.0, 11)
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np.testing.assert_allclose(out.numpy(), expected, rtol=1e-10)
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def test_linspace_single_point(self):
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"""单点linspace / Single point linspace"""
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out = paddle.linspace(5, 5, 1)
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np.testing.assert_allclose(out.numpy(), [5.0], rtol=1e-5)
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def test_linspace_reverse(self):
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"""逆序linspace / Reverse linspace"""
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out = paddle.linspace(10, 0, 6)
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expected = np.linspace(10, 0, 6).astype('float32')
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np.testing.assert_allclose(out.numpy(), expected, rtol=1e-5)
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class TestLogspace(unittest.TestCase):
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"""测试logspace对数等分
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Test logspace function"""
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def setUp(self):
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paddle.disable_static()
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def test_logspace_base10(self):
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"""base=10的logspace / Logspace with base 10"""
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out = paddle.logspace(0, 3, 4, base=10)
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expected = np.array([1.0, 10.0, 100.0, 1000.0], dtype='float32')
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np.testing.assert_allclose(out.numpy(), expected, rtol=1e-4)
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def test_logspace_base2(self):
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"""base=2的logspace / Logspace with base 2"""
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out = paddle.logspace(0, 4, 5, base=2)
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expected = np.array([1.0, 2.0, 4.0, 8.0, 16.0], dtype='float32')
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np.testing.assert_allclose(out.numpy(), expected, rtol=1e-4)
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def test_logspace_float64(self):
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"""float64的logspace / Logspace with float64"""
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out = paddle.logspace(0, 2, 3, base=10, dtype='float64')
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expected = np.array([1.0, 10.0, 100.0])
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np.testing.assert_allclose(out.numpy(), expected, rtol=1e-10)
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class TestArange(unittest.TestCase):
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"""测试arange等差序列
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Test arange function"""
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def setUp(self):
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paddle.disable_static()
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def test_arange_basic(self):
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"""基本arange / Basic arange"""
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out = paddle.arange(5)
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np.testing.assert_array_equal(out.numpy(), np.arange(5))
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def test_arange_start_end(self):
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"""指定start和end / Arange with start and end"""
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out = paddle.arange(2, 8)
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np.testing.assert_array_equal(out.numpy(), np.arange(2, 8))
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def test_arange_with_step(self):
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"""指定step / Arange with step"""
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out = paddle.arange(0, 10, 2, dtype='int32')
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np.testing.assert_array_equal(
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out.numpy(), np.arange(0, 10, 2, dtype='int32')
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)
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def test_arange_float_step(self):
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"""浮点步长 / Arange with float step"""
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out = paddle.arange(0.0, 1.0, 0.2, dtype='float32')
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expected = np.arange(0.0, 1.0, 0.2).astype('float32')
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np.testing.assert_allclose(out.numpy(), expected, rtol=1e-5)
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def test_arange_negative_step(self):
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"""负步长 / Arange with negative step"""
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out = paddle.arange(5, 0, -1, dtype='int32')
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np.testing.assert_array_equal(
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out.numpy(), np.arange(5, 0, -1, dtype='int32')
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)
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class TestFullAndZerosOnes(unittest.TestCase):
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"""测试full, zeros, ones创建
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Test full, zeros, ones creation"""
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def setUp(self):
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paddle.disable_static()
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def test_full_basic(self):
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"""基本full / Basic full"""
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out = paddle.full([2, 3], 5.0)
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np.testing.assert_allclose(out.numpy(), np.full([2, 3], 5.0))
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def test_full_int(self):
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"""int类型full / Full with int dtype"""
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out = paddle.full([3], 7, dtype='int32')
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np.testing.assert_array_equal(
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out.numpy(), np.array([7, 7, 7], dtype='int32')
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)
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def test_zeros_various_shapes(self):
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"""各种形状的zeros / Zeros with various shapes"""
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for shape in [[1], [2, 3], [2, 3, 4]]:
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out = paddle.zeros(shape, dtype='float32')
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self.assertEqual(list(out.shape), shape)
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np.testing.assert_allclose(
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out.numpy(), np.zeros(shape, dtype='float32')
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)
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def test_ones_various_shapes(self):
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"""各种形状的ones / Ones with various shapes"""
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for shape in [[1], [2, 3], [2, 3, 4]]:
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out = paddle.ones(shape, dtype='float32')
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self.assertEqual(list(out.shape), shape)
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np.testing.assert_allclose(
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out.numpy(), np.ones(shape, dtype='float32')
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)
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class TestMeshgrid(unittest.TestCase):
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"""测试meshgrid网格生成
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Test meshgrid function"""
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def setUp(self):
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paddle.disable_static()
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def test_meshgrid_2d(self):
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"""2D网格 / 2D meshgrid"""
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x = paddle.arange(3, dtype='float32')
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y = paddle.arange(4, dtype='float32')
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grid_x, grid_y = paddle.meshgrid(x, y)
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self.assertEqual(list(grid_x.shape), [3, 4])
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self.assertEqual(list(grid_y.shape), [3, 4])
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def test_meshgrid_3d(self):
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"""3D网格 / 3D meshgrid"""
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x = paddle.arange(2, dtype='float32')
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y = paddle.arange(3, dtype='float32')
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z = paddle.arange(4, dtype='float32')
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gx, gy, gz = paddle.meshgrid(x, y, z)
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self.assertEqual(list(gx.shape), [2, 3, 4])
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if __name__ == '__main__':
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unittest.main()
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